US Patent 7145948 Entropy constrained scalar quantizer for a Laplace-Markov source

Overview Structured Data Issues Contributors Activity

All edits

Edits on 6 Sep, 2023

"Add patent inventor(s)"

Golden AI

edited on 6 Sep, 2023

Edits made to:

Infobox (+2 properties)

Infobox

Patent Inventor Names

Jong Chul Ye0

Yingwei Chen0

Edits on 31 Aug, 2023

"Add patent abstract"

Golden AI

edited on 31 Aug, 2023

Edits made to:

Article (+678 characters)

Article

Patent abstract

A video coding system and method for coding an input frame in which the evolution of discrete cosine transform (DCT) coefficients is modeled as a Laplace-Markov process, the system comprising: a base layer processing system for generating a base layer reconstruction; an enhancement layer processing system for generating an enhancement layer reconstruction; and an entropy constrained scalar quantizer (ECSQ) system for descritizing a prediction residual between the input frame and an estimation theoretic (ET) prediction output; wherein the ECSQ system utilizes an ECSQ that comprises a uniform threshold quantizer with a deadzone size defined by the equation:

Edits on 25 May, 2023

"Remove website redirecting to Patent Public Search front page"

Golden AI

edited on 25 May, 2023

Edits made to:

Infobox (-1 properties)

Infobox

Official Website

https://pdfpiw.uspto.gov/.piw?Docid=071459480

Edits on 19 May, 2023

"Remove leading 0 from patent number"

Golden AI